Automated self-optimization, intensification, and scale-up of photocatalysis in flow
Amsterdam University of Applied Sciences · University of Amsterdam · +2 more institutions
Abstract
The optimization, intensification, and scale-up of photochemical processes constitute a particular challenge in a manufacturing environment geared primarily toward thermal chemistry. In this work, we present a versatile flow-based robotic platform to address these challenges through the integration of readily available hardware and custom software. Our open-source platform combines a liquid handler, syringe pumps, a tunable continuous-flow photoreactor, inexpensive Internet of Things devices, and an in-line benchtop nuclear magnetic resonance spectrometer to enable automated, data-rich optimization with a closed-loop Bayesian optimization strategy. A user-friendly graphical interface allows chemists without…
Citation impact
- FWCI
- 45.11
- Percentile
- 100%
- References
- 48
Authors
7- ASAidan SlatteryCorresponding
Amsterdam University of Applied Sciences, University of Amsterdam
- ZWZhenghui WenCorresponding
Amsterdam University of Applied Sciences, University of Amsterdam
- PTPauline TenbladCorresponding
Amsterdam University of Applied Sciences, University of Amsterdam
- JSJesús Sanjosé‐Orduna
Amsterdam University of Applied Sciences, University of Amsterdam
- DPDiego Pintossi
Amsterdam University of Applied Sciences, University of Amsterdam
Topics & keywords
- Computer science
- Photocatalysis
- Software
- Interface (matter)
- Flow chemistry
- Scale (ratio)
- Process engineering
- Flow (mathematics)
- Industry, innovation and infrastructure